4 papers
Quantum Computing for Databases: Overview and Challenges
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4
In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showi…
Revisiting CNNs for Trajectory Similarity Learning
Zhihao Chang, Linzhu Yu, Huan Li +3
Similarity search is a fundamental but expensive operator in querying trajectory data, due to its quadratic complexity of distance computation. To mitigate the computational burden…
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai, Sai Wu, Jie Song +2
As a fundamental problem in transfer learning, model selection aims to rank off-the-shelf pre-trained models and select the most suitable one for the new target task. Existing mode…
ModelGiF: Gradient Fields for Model Functional Distance
Jie Song, Zhengqi Xu, Sai Wu +2
The last decade has witnessed the success of deep learning and the surge of publicly released trained models, which necessitates the quantification of the model functional distance…